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Senior Data Engineer builds and scales healthcare data pipelines and platforms to consolidate and deliver patient records in real-time, using cloud-native tools like Spark, Snowflake, and AWS.
Data Engineer (Python) We are looking for a Data Engineer with strong Python skills to join our team and support the development of scalable data processing solutions. This role focuses on building and optimizing data…
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. As a Full Stack Engineer , you will be part of a dynamic, DevOps-oriented team responsible for end-to-end software…
Build and validate cloud-based healthcare data pipelines in Azure Synapse using SQL, Python, and PySpark, transforming HL7/FHIR and EHR data while ensuring quality and traceability for analytics.
Build and maintain high-throughput C++ and Python systems to record, transfer, validate, and catalog petabyte-scale autonomous-truck sensor data for replay and ML.
Builds and maintains scalable storage infrastructure for an AI-driven cybersecurity platform, focusing on backup, observability, and agent-forward operations across Aurora, ClickHouse, and Kafka.
Owns reliability and performance of Apple’s ETL platform, running Airflow, Spark-on-EKS, and Kafka pipelines on Kubernetes to ensure data freshness and operational readiness.
The role: Build the control plane and data plane for physical AI. Munari must run training, simulation, evaluation, data processing, and inference workloads across public cloud, customer-owned infrastructure, robotics…
Data Warehouse/Microsoft Fabric Engineer Location: US - Remote (Any Location) Remote Type: Remote Time Type: Full time Job Description In a world of possibilities, pursue one with endless opportunities. Imagine Next!…
Build and operate backend services and data pipelines that ingest high-volume security telemetry, turning it into detection and remediation for customers using TypeScript/Node.js, Python, Go, and Kubernetes.
Build and deploy deep-learning models for indoor positioning and item localization using PyTorch and wireless signals, turning raw sensor data into actionable retail insights.
Build and optimize high-performance backend services in Go and Kafka to process and analyze ad-tech data at scale, including ML-driven solutions.
Build and maintain Python data pipelines to ingest, clean, and deliver financial datasets for a quantitative investment firm.
Build and maintain MOIA’s serverless AWS-based data platform, enabling teams to process and analyze mobility data efficiently using Python, Kinesis, Lambda, and SageMaker.
Build and maintain scalable backend services for fintech platforms that process financial and loan data using modern cloud technologies and distributed systems.
Develops end-to-end data pipelines for a natural language search platform, managing multimodal data ingestion, vector/text search preparation, and high-load architecture using Python, SQL, Airflow, Spark, Kubernetes, and S3.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Build and maintain a scalable open-architecture data platform for financial data, using Python, Java, Spark, Iceberg, and cloud services to enable secure ingestion, governance, and analytics.
Builds and maintains the software/data infrastructure for a healthcare AI research project, focusing on developing multi-modal foundation models for blood analysis using anonymized clinical data. Core tech: Python, SQL, distributed systems, Kubernetes, databases (PostgreSQL, DuckDB), data pipelines (Airflow, dbt), and security-by-design principles.
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